Metadata-Version: 2.4
Name: i2net
Version: 0.1.0
Summary: A Python package to decode network traffic metadata from image representations (reverse of Net2i).
Author-email: "Dr. Omesh Fernando" <omeshf@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/omeshf/i2net
Project-URL: Issues, https://github.com/omeshf/i2net/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Security
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Utilities
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Dynamic: license-file

# i2Net

**i2Net** is a Python tool that **decodes network metadata from image representations**. It acts as the reverse pipeline of [Net2i](https://github.com/yourusername/net2i), which encodes network traffic data into images.

This utility is ideal for reconstructing IP addresses, MAC addresses, and other network metadata from images produced by Net2i.

---

## 🔁 Purpose

**i2Net = Image → Network data (CSV)**  
**Net2i = Network data → Image**

---

## 📦 Requirements

- Python 3.9+
- [NumPy](https://pypi.org/project/numpy/)
- [Pillow](https://pypi.org/project/Pillow/)

Install dependencies:

```bash
pip install numpy pillow
```
